Machine Learning Engineer

• Develop and deploy high-quality machine learning models that power Modulate's products
• Advance our capabilities in conversational voice intelligence through applied research and engineering
• Help translate business needs into scalable ML solutions
• Improve model performance, reliability, and efficiency across our platform
• Contribute to a collaborative, high-performing engineering culture

• →Design, train, evaluate, and deploy machine learning models for production applications
• →Collaborate with engineers, researchers, product managers, and company leadership to define and execute on ML initiatives
• →Conduct experiments to improve model quality, accuracy, robustness, and scalability
• →Partner with platform and infrastructure teams to operationalize and monitor ML systems in production
• →Analyze model performance and identify opportunities for improvement
• →Communicate technical findings, tradeoffs, and recommendations to both technical and non-technical stakeholders
• →Contribute to technical strategy and help shape the future direction of Modulate's ML systems
• →Review code, share knowledge, and mentor teammates as needed
• →Stay current on advances in machine learning and identify opportunities to apply new techniques to our products

• Experience conducting machine learning research and shipping models to production
• Strong experience building and deploying production-grade machine learning systems
• Strong experience with Python and PyTorch
• Experience designing experiments and evaluating model performance
• Ability to work across research and engineering disciplines to deliver business impact
• Strong communication skills and the ability to explain complex technical concepts clearly
• Experience working collaboratively in cross-functional environments

• Experience communicating research externally through papers, conferences, or open-source contributions
• Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.)
• Experience with cloud infrastructure, especially AWS
• Experience building and maintaining large-scale ML infrastructure or MLOps systems
• Experience in fast-paced startup environments

Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience.

Salary: $170,000–$200,000
Equity: Offered

Additional benefits include HSA, FSA, 15 company holidays, and professional development resources.

Candidates may be located anywhere in the U.S., with preference for proximity to major tech hubs such as Boston, San Francisco, Seattle, New York, or Austin.

Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We're trusted by leaders in gaming and beyond—and we're growing fast.

We believe that great cultures don't just happen. That's why we've built a foundation of intentional systems: from bias-reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people—and we're building technology that does the same.

Ready to join us? Apply here or reach out directly—we're excited to meet you.

• Please apply through the website rather than emailing careers@modulate.ai.
• For application questions ("Your fit for the role," "Your values/goals," and "Why Modulate?"), focus on relevant experience and motivations.
• Avoid including protected demographic information.
• Keep responses authentic and in your own voice.